About the Job
Quant, a pioneering Saudi enterprise, leads the charge in digital transformation by leveraging the vast array of data resources available in the fourth industrial revolution. We are deeply committed to delivering exceptional Data Science and AI SaaS products and solutions, specifically in the real estate sector through Suhail and in the retail sector through Fruits360. Our talented team possesses unique expertise, enabling us to analyze over a trillion data records and serve hundreds of clients across more than 10 industries. Our strategic international and local partnerships have positioned us as trailblazers in the global transition towards data-driven economies.
The Senior Data Engineer is required to prepare data for modeling and predictions. This role involves integrations with new data sources, pre-processing operations such as data cleansing, feature engineering, statistical analysis, and sampling, along with various ETL-related tasks. This is a project-based role, meaning the engineer will work on specific projects with defined goals and timelines. Strong software-development habits are essential, and a background in Python, machine learning, data storage, and ETL pipelines is required.
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Job Responsibilities:
- Lead the identification and integration of data sources, designing data entities to meet complex business stakeholders' requirements.
- Diagnose and address data quality issues, collaborating with data source owners to implement effective preventive or corrective measures.
- Deploy and optimize high-performance algorithms, analytics programs, machine learning models, and statistical methods.
- Research and explore opportunities for data acquisition and innovative uses of existing data to enhance business value.
- Design and implement robust data pipelines using SQL, Airflow, Python, Alteryx, and cloud data technologies.
- Integrate advanced data management technologies and software engineering tools into existing data structures for improved performance and scalability.
- Build and maintain high-quality datasets that provide data-driven insights, influence operational decision-making, and enable data-driven products and services.
- Develop custom software components and analytics applications tailored to specific business needs.
- Utilize various programming languages and tools (e.g., scripting languages) to effectively integrate disparate systems.
- Recommend and implement strategies to improve data reliability, efficiency, and overall quality.
- Lead research and development initiatives to enhance services and products, driving innovation within the data engineering team.
- Collaborate with colleagues to build a flexible and scalable data platform, ensuring implementation and operational excellence.
- Create and maintain comprehensive project documentation to ensure clarity and continuity.
Requirements:
- Preferred Certifications: Bachelor’s and/or Master’s degree in Computer Science or related majors.
- Preferred Personal Qualities:
- Agile, critical and logical thinker
- Innovative and pragmatic
- Long-term dedication to the role and adaptability in a diverse environment
- Preferred Skillset:
- Proficient in Microsoft Office and Google Suite
- Capable in programming and/or understanding of programming languages
- Strong quantitative and qualitative analytical skills
- Knowledge of statistics and experience in data visualization
- Familiarity with data architecture and experience with big data
- Technical writing experience related to queries, reports, and presentations.
- Programming Languages and Software Knowledge Required:
Benefits:
- Company Sponsored Incentives:
- Career Development Plan: Support for gaining pre-approved certificates.
- Profit Incentive Plan: Bonus based on company revenue.
- Milestone Incentive Plan: Rewards for enhancing departmental functions or achieving company goals.
- Commission Plan: Additional rewards based on set criteria.
- Employee Wellness Initiatives:
- Subsidies for healthy meals and discounts at wellness outlets.
- Medical Insurance: Provides coverage as per company policies.
- Leave Policies:
- Annual Leave of 22 business days, public holidays, and compassionate leave.
- Sick Leave includes full pay for up to 30 days, then 75% for an additional 60 days.
- Employee Allowances:
- Housing, transportation, and communication allowances for eligible employees.
Quant aspires to empower organizations in the decision-making process and optimize their business intelligence through data-driven insights and analytical solutions.
